{"id":"W2143194299","doi":"10.1115/imece2003-55283","title":"A Scale Analysis Approach to Thermal Contact Resistance","year":2003,"lang":"en","type":"article","venue":"","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal contact conductance; Materials science; Asperity (geotechnical engineering); Surface roughness; Curvature; Surface finish; Range (aeronautics); Gaussian surface; Contact resistance; Mechanics; Gaussian curvature; Forensic engineering; Thermal resistance; Composite material; Geometry; Heat transfer; Mathematics; Physics; Engineering; Layer (electronics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008370282,0.00008499884,0.000129005,0.0001294138,0.0001201361,0.00002299247,0.00006575199,0.00002611993,0.000250857],"category_scores_gemma":[0.000007651998,0.00006973987,0.00009457544,0.0006401556,0.000004106823,0.00007361142,0.00000502572,0.000081352,0.00007216613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006547126,"about_ca_system_score_gemma":0.000007629645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003057102,"about_ca_topic_score_gemma":0.0002183315,"domain_scores_codex":[0.9994525,0.00002986224,0.0001303017,0.0001303916,0.0001058108,0.0001510929],"domain_scores_gemma":[0.9996749,0.00002475333,0.000009559121,0.0001864161,0.00003077548,0.00007365019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003055376,0.0002293603,0.02670444,0.00002722529,0.001006968,0.000002630233,0.002780432,0.9026873,0.01675344,0.005276253,0.04411427,0.0003871691],"study_design_scores_gemma":[0.00099361,0.00009407422,0.1469949,0.00002096313,0.0009705556,0.00001798109,0.008399998,0.1445916,0.0474402,0.0003235101,0.6483644,0.001788248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3807146,0.00007900804,0.1846648,0.00003439751,0.0001864228,0.0001070527,0.000007735354,0.0002721681,0.4339339],"genre_scores_gemma":[0.975831,0.000003820271,0.007808122,0.00004721234,0.00001584681,0.000029402,0.000003773751,0.00001322464,0.01624765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7580957,"threshold_uncertainty_score":0.284391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008208084468173003,"score_gpt":0.2065996942350055,"score_spread":0.1983916097668325,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}